Elli Peterson's TechCrunch

The Procure-to-Pay cycle represents one of the most complex yet essential operational frameworks in enterprise procurement. From requisition creation through invoice payment, organizations managing thousands of suppliers and processing millions in annual spend face mounting pressure to eliminate manual touchpoints, reduce processing costs, and gain real-time visibility into spend under management. As procurement teams grapple with maverick spending, compliance requirements, and supplier relationship management demands, automation has evolved from a competitive advantage to an operational imperative. Modern enterprises are discovering that successful Procure-to-Pay Automation depends on strategic decisions across technology, process design, and organizational alignment. Leading platforms from providers like Coupa Software, SAP Ariba, and Jaggaer demonstrate that the difference between transformative results and incremental improvements often comes down to how organizations prioritize a...

When our procurement team first embarked on integrating artificial intelligence into our operations five years ago, we had ambitious goals but little practical understanding of what the journey would actually entail. Like many enterprise procurement organizations managing billions in spend, we saw AI as the solution to our persistent challenges around spend visibility, supplier risk management, and contract compliance. What we discovered through trial, error, and eventual success has fundamentally reshaped how we approach procurement transformation. These lessons from the frontlines of implementing AI in Procurement Operations offer practical insights that go far beyond vendor whitepapers and conference presentations. The initial push toward AI in Procurement Operations came from our executive leadership after a particularly painful quarter where supplier disruptions cascaded through our manufacturing operations. We had the data—purchase orders, supplier scorecards, contract terms, in...